Becoming Wikipedian: transformation of participation in a collaborative online encyclopedia
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
International ethnographic observation of social networking sites
CHI '08 Extended Abstracts on Human Factors in Computing Systems
On the "localness" of user-generated content
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Cross-cultural analysis of the Wikipedia community
Journal of the American Society for Information Science and Technology
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Proceedings of the 2013 conference on Computer supported cooperative work
Putting ubiquitous crowd-sourcing into context
Proceedings of the 2013 conference on Computer supported cooperative work
Volunteered geographic information production as a spatial process
International Journal of Geographical Information Science
Review: Cross-cultural analysis in online community research: A literature review
Computers in Human Behavior
On the accuracy of urban crowd-sourcing for maintaining large-scale geospatial databases
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
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Crowd-mapping is a form of collaborative work that empowers citizens to collect and share geographic knowledge. OpenStreetMap (OSM) is a successful example of such paradigm, where the goal of building and maintaining an accurate global map of the changing world is being accomplished by means of local contributions made by over 1.2M citizens. While OSM has been subject to many country-specific studies, the relationship between national culture and economic affluence and users' participation has been so far unexplored. In this work, we systematically study the link between them: we characterise OSM users in terms of who they are, how they contribute, during what period of time, and across what geographic areas. We find strong correlations between these characteristics and national culture factors (e.g., power distance, individualism, pace of life, self expression), and well as Gross Domestic Product per capita. Based on these findings, we discuss design issues that developers of crowd-mapping services should consider to account for cross-cultural differences.